STA220H1 Chapter Notes - Chapter 4: Histogram, Standard Deviation, Interquartile Range

• School: UTSG
• Department: Statistical Sciences
• Course: STA220H1
• Professor: Augustin Vukov

Document Summary

We can display the distribution of quantitative data with a histogram, a stem-and- lead display, or a dotplot. We tell what we see about the distribution by talking about shape, center, spread, and any unusual features. Distribution: the distribution of a quantitative variable slices up all the possible values of the variable into equal width bins and gives the number of values (or counts) falling into each bin. Histogram: uses adjacent bars to show the distribution of a quantitative variable. Each bar represents the frequency (or relative frequency) of values falling in each bin. Bins slice up all the values of the quantitative variable, so any spaces in a histogram are actual gaps in the data, indicating a region where there are no observed values. Relative frequency histogram: replacing counts on the vertical axis with the percentage or proportion of the total number of cases falling in each bin.